{"id":"W1581771865","doi":"10.35305/tyd.v0i19.84","title":"Matrimonio político y crítica antagonista en Argentina. Análisis de discursos en clave de género y teoría política","year":2013,"lang":"es","type":"article","venue":"Temas y Debates","topic":"Cultural and political discourse analysis","field":"Social Sciences","cited_by":8,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Humanities; Political science; Art","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.002418447,0.0002698723,0.0003407116,0.00164551,0.005285975,0.003657974,0.000398412,0.001050638,0.004807172],"category_scores_gemma":[0.00531583,0.0002035379,0.0001076547,0.002871362,0.007014376,0.001944621,0.0014902,0.001602697,0.0003105202],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.01090567,"about_ca_system_score_gemma":0.002841099,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.06789363,"about_ca_topic_score_gemma":0.09129654,"domain_scores_codex":[0.9975955,0.001320534,0.00005288769,0.0002725923,0.0004523139,0.0003061668],"domain_scores_gemma":[0.9976919,0.001042653,0.0005997476,0.0001044424,0.0003727631,0.0001885804],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"theoretical_or_conceptual","study_design_gemma":"qualitative","study_design_scores_codex":[0.0002474409,0.00006728093,0.02519059,0.0003790311,0.00002660915,0.0007154164,0.3495839,0.0003534002,0.001806341,0.5435307,0.02758872,0.05051053],"study_design_scores_gemma":[0.00004650075,0.00008929647,0.1811006,0.0009169405,0.00005596494,0.0003257414,0.1601411,0.001350793,0.000855573,0.03424729,0.6208293,0.00004074337],"study_design_candidate":"qualitative","study_design_consensus":null,"genre_codex":"empirical","genre_gemma":"empirical","genre_scores_codex":[0.5336437,0.01562785,0.001677585,0.02864384,0.000346749,0.00005132617,0.0002840363,0.00002743001,0.4196974],"genre_scores_gemma":[0.9771186,0.003106464,0.0003664081,0.000533588,0.0001101067,0.00004011348,0.0000845974,0.00003081797,0.01860934],"genre_candidate":"empirical","genre_consensus":"empirical","teacher_disagreement_score":0.06789363,"threshold_uncertainty_score":0.1349969,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.007943696057426713,"score_gpt":0.3182038015719328,"score_spread":0.3102601055145061,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}